The First Discriminant Theory of Linearly Separable Data: From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2024
Singapore Springer |
| Ausgabe: | 1st ed. 2024 |
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-1050 DE-92 DE-898 DE-861 DE-863 DE-862 DE-523 DE-91 DE-19 DE-703 DE-20 DE-706 DE-824 DE-739 URL des Erstveröffentlichers |
| Beschreibung: | 1 Online-Ressource (XXXI, 347 p. 104 illus., 87 illus. in color) |
| ISBN: | 9789819994205 |
| DOI: | 10.1007/978-981-99-9420-5 |
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| indexdate | 2024-08-05T08:32:38Z |
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| isbn | 9789819994205 |
| language | English |
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| spellingShingle | Shinmura, Shuichi The First Discriminant Theory of Linearly Separable Data From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis Statistical Theory and Methods Biostatistics Diagnosis Cancer Genetics and Genomics Data Analysis and Big Data Discrete Optimization Statistics Biometry Cancer / Genetic aspects Quantitative research Mathematical optimization |
| title | The First Discriminant Theory of Linearly Separable Data From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis |
| title_auth | The First Discriminant Theory of Linearly Separable Data From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis |
| title_exact_search | The First Discriminant Theory of Linearly Separable Data From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis |
| title_full | The First Discriminant Theory of Linearly Separable Data From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis by Shuichi Shinmura |
| title_fullStr | The First Discriminant Theory of Linearly Separable Data From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis by Shuichi Shinmura |
| title_full_unstemmed | The First Discriminant Theory of Linearly Separable Data From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis by Shuichi Shinmura |
| title_short | The First Discriminant Theory of Linearly Separable Data |
| title_sort | the first discriminant theory of linearly separable data from exams and medical diagnoses with misclassifications to 169 microarrays for cancer gene diagnosis |
| title_sub | From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis |
| topic | Statistical Theory and Methods Biostatistics Diagnosis Cancer Genetics and Genomics Data Analysis and Big Data Discrete Optimization Statistics Biometry Cancer / Genetic aspects Quantitative research Mathematical optimization |
| topic_facet | Statistical Theory and Methods Biostatistics Diagnosis Cancer Genetics and Genomics Data Analysis and Big Data Discrete Optimization Statistics Biometry Cancer / Genetic aspects Quantitative research Mathematical optimization |
| url | https://doi.org/10.1007/978-981-99-9420-5 |
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